Enhancing Web Search Effectiveness and Robustness Using BERT- and Co-Occurrence-Based Pruned Conflation Sets
Stemming is a fundamental technique for enhancing recall in Web search systems. It allows documents containing morphological variants of query terms to be included in the result set. However, rule-based stemmers produce large conflation sets in which many variants are unrelated to the query intent, and appending them...